Furnshop

The project aims to mimic the in-store experience of purchasing and selecting furniture in an online space through vivid product imagery.

In collaboration with Santoshi Balaji and Kanishk Nema

Timeline: 04 Days

Furnshop enhances the e-shopping experience to ensure that customers can easily browse, select, customize, and purchase the products.

It will use 3D AI technology to allow customers to try different furniture in a given space and see which one suits their space the best. This will provide convenience to customers; they no longer have to visit physical stores if they don't want to. Instead, they can choose the best furniture from the comfort of their couch.

Users can use the app to superimpose the products in a given space. This superimposition will help the user to visualize the product in any environment. Online buyers can view a piece of furniture they might be interested in buying and customize it according to their preferences. It solves the need for the various visualization barriers that the user faces while selecting furniture online. They can also experiment with different permutations and combinations in the furniture selection process - material, color, texture, pattern, comfort, etc. The app also provides services that educate the user and help them verify the product's authenticity.

Narrative

Persona and Empathy Map

Use case scenarios

Low Fidelity Wireframes

and Visual Mockups

Previous
Previous

Unnati System

Next
Next

Mera Vote